Cong Chen
Impact in
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- Face recognition and analysis
- Advanced Neural Network Applications
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
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- Biometric Identification and Security
Papers in
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- Face recognition and analysis 5
- Face and Expression Recognition 3
- Co-authors
- Kang Zhang (1 shared paper)Biying Fu (4 shared papers)Naser Damer (3 shared papers)Olaf Henniger (3 shared papers)Kunlin Cao (1 shared paper)Li Liu (1 shared paper)Weijie Sun (1 shared paper)Yunjian Peng (1 shared paper)
- Journals
- Ocean Engineering (2 papers)Applied Sciences (2 papers)IEEE Journal of Biomedical and Health Informatics (1 paper)Applied Radiation and Isotopes (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Chen
41 papers receiving 214 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 90
- Signal Processing 36
- Health Informatics 4
- Artificial Intelligence 65
- Computer Science Applications 9
Countries citing papers authored by Cong Chen
This map shows the geographic impact of Cong Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Cong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Chen more than expected).
Fields of papers citing papers by Cong Chen
This network shows the impact of papers produced by Cong Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Cong Chen. The network helps show where Cong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 24 | |
| 2 | 2021 | 18 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 15 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 12 | |
| 7 | 2020 | 12 | |
| 8 | 2021 | 10 | |
| 9 | 2015 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2003 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2012 | 3 |
About Cong Chen
Cong Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Aerospace Engineering and Control and Systems Engineering, having authored 49 papers that have together received 224 indexed citations. Recurring topics across this work include Biometric Identification and Security (5 papers), Face recognition and analysis (5 papers), Face and Expression Recognition (3 papers), Guidance and Control Systems (3 papers), Software Engineering Techniques and Practices (3 papers), Software Engineering Research (3 papers), Computational Drug Discovery Methods (3 papers) and Military Defense Systems Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Signal Processing (36 citations), Health Informatics (4 citations), Artificial Intelligence (65 citations) and Computer Science Applications (9 citations). Cong Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kang Zhang, Biying Fu, Naser Damer, Olaf Henniger, Kunlin Cao, Li Liu, Weijie Sun, Yunjian Peng, Sheng Liu and Allison Morgan. Their work appears in journals such as Ocean Engineering, Applied Sciences, IEEE Journal of Biomedical and Health Informatics, Applied Radiation and Isotopes and IEEE Transactions on Multimedia.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.